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Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on SDB's sample su guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
2211 9.0 87 112 43.7 The Pirates are 87-112-1 AGAINST since Aug 19, 2016
1788 12.3 35 66 34.7 The Pirates are 35-66 AGAINST since Aug 29, 2016 as a dog
1659 16.5 21 46 31.3 The Pirates are 21-46 AGAINST since Aug 29, 2016 as a road dog
1541 38.4 7 23 23.3 The Pirates are 7-23 AGAINST since Jul 22, 2017 on the road
557 13.1 20 14 58.8 The Pirates are 20-14 ON since Jul 16, 2017 at home

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins

How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).